Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Clean up your Web pages with HP's HTML tidy
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Effective site finding using link anchor information
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Accelerated focused crawling through online relevance feedback
Proceedings of the 11th international conference on World Wide Web
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Combining Statistical and Relational Methods for Learning in Hypertext Domains
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
A New Study on Using HTML Structures to Improve Retrieval
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Deriving link-context from HTML tag tree
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
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Anchor text has been shown to be effective in ranking [6] and a variety of information retrieval tasks on web pages. Some authors have expanded on anchor text by using the words around the anchor tag, a link-context, but each with a different definition of link-context. This lack of consensus begs the question: What is a good link-context?The two experiments in this paper address the question by comparing the results of using different link-contexts for the problem of ranking. Specifically, we concatenate the link-contexts of links pointing to a web page to create a link-context documentused to rank that web page. By comparing the ranking order resulting from using different link-contexts, we found that smaller contexts are effective at ranking relevant urls highly.